11 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
Self-Discriminative Modeling for Anomalous Graph Detection
Jinyu Cai, Yunhe Zhang, Jicong Fan
This paper studies the problem of detecting anomalous graphs using a machine learning model trained on only normal graphs, which has many applications in molecule, biology, and soc…
Value Iteration Networks with Gated Summarization Module
Jinyu Cai, Jialong Li, Mingyue Zhang +1
In this paper, we address the challenges faced by Value Iteration Networks (VIN) in handling larger input maps and mitigating the impact of accumulated errors caused by increased i…
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
Jinyu Cai, Yi Han, Wenzhong Guo +1
In this work, we study the problem of partitioning a set of graphs into different groups such that the graphs in the same group are similar while the graphs in different groups are…
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Yunhe Zhang, Yan Sun, Jinyu Cai +1
Many well-known and effective anomaly detection methods assume that a reasonable decision boundary has a hypersphere shape, which however is difficult to obtain in practice and is…